Triple

T3472732
Position Surface form Disambiguated ID Type / Status
Subject SOSP E73300 entity
Predicate sponsor P67 FINISHED
Object ACM SIGOPS E13736 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: ACM SIGOPS | Statement: [SOSP, sponsor, ACM SIGOPS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ACM SIGOPS
Context triple: [SOSP, sponsor, ACM SIGOPS]
  • A. SIGOPS chosen
    SIGOPS is the ACM Special Interest Group on Operating Systems, a professional community focused on research and innovation in operating systems and related software systems.
  • B. SOSP
    SOSP (Symposium on Operating Systems Principles) is a premier academic conference focused on cutting-edge research in operating systems and related areas of computer systems.
  • C. ACM SIGARCH
    ACM SIGARCH is a special interest group of the Association for Computing Machinery focused on computer architecture research, education, and community-building.
  • D. ACM SIGSAC
    ACM SIGSAC is the Association for Computing Machinery’s Special Interest Group on Security, Audit and Control, focusing on research and community-building in computer and information security.
  • E. ACM Transactions on Computer Systems
    ACM Transactions on Computer Systems is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research in the design, implementation, and evaluation of computer systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad85b2fed48190948c8765e453d270 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb3cc8488190b97c732e3f600a90 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373b2058081908558bdea4043b051 completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:17 p.m.